Statistical computations and models for use with SciPy This item contains old versions of the Arch Linux package for python2-statsmodels . Website of the upstream project: http://statsmodels.sourceforge.net/ License: BSD See the Arch Linux Archive documentation for details.
Topics: archlinux, archlinux package, python2-statsmodels
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SciPy 2010 Day 2 Lightning Talks 9 A Python distribution for Astronomy James Turner
Topics: scipy, 2010
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Sep 22, 2013
09/13
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Nathan Bell; Anil N. Hirani
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This paper describes the algorithms, features and implementation of PyDEC, a Python library for computations related to the discretization of exterior calculus. PyDEC facilitates inquiry into both physical problems on manifolds as well as purely topological problems on abstract complexes. We describe efficient algorithms for constructing the operators and objects that arise in discrete exterior calculus, lowest order finite element exterior calculus and in related topological problems. Our...
Source: http://arxiv.org/abs/1103.3076v2
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Giuseppe Cammarota - Activity Map from space: supporting mine clearance with Python [EuroPython 2015] [22 July 2015] Removing UneXploded Ordnance (UXO) from minefields at the end of a conflict is a very time-consuming and expensive operation. Advanced satellite image processing can detect changes and activities on the ground and represent them on a map that can be used by operators to classify more dangerous zones and safer areas, potentially reducing the time spent on field surveys. We exploit...
Topics: visualization, scipy, ipython, geodata, numpy, EuroPython2015, Python
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Gaël Varoquaux - Scientist meets web dev: how Python became the language of data [EuroPython 2016] [22 July 2016 / 2016-07-22] [Bilbao, Euskadi, Spain] (https://ep2016.europython.eu//conference/talks/keynote-science-web-dev) Data science is a hot topic and Python has emerged as an ideal language for it. Its strength for data analysis come from the cultural mix between the scientific Python community, and more conventional software usage, such as web development or system administration. I'll...
Topics: Science, Data, EuroPython2016, Python
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Philipp Mack - Python in the world of retail and mail order [EuroPython 2015] [24 July 2015] At Blue Yonder a lot of different python packages, provided by the community, as well as our own self-written packages, are used in order to provide flexible solutions to our problems. In this talk I'll present a walkthrough of a generic python application example for demand and purchase order quantity calculations, putting together those packages in an orderly way. The example will feature real world...
Topics: redis, data-science, pytest, pandas, automation, configuration, case study, deployment, scipy,...
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Ignacio Elola - Everyone can do Data Science in Python [EuroPython 2015] [20 July 2015] Data Science is a hot topic, and most data scientist use either Python or R to do their jobs as main scripting language. Being import.io data scientist for the last 2 years, all of them using Python, I've come across many different problems and needs on how to wrangle data, clean data, report on it and make predictions. In this talk I will cover all main analytics and data science needs of a start-up using...
Topics: data-science, machine-learning, analytics, pandas, scipy, sklearn, EuroPython2015, Python
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SciPy 2010 Day 2 Lightning Track 1 PuDB: console debugging fun Andreas Kloeckner
Topics: scipy, 2010
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2.0
Jun 30, 2018
06/18
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Adam Amara; Sascha P. Quanz; Joel Akeret
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We announce the public release of PynPoint, a Python package that we have developed for analysing exoplanet data taken with the angular differential imaging observing technique. In particular, PynPoint is designed to model the point spread function of the central star and to subtract its flux contribution to reveal nearby faint companion planets. The current version of the package does this correction by using a principal component analysis method to build a basis set for modelling the point...
Topics: Instrumentation and Methods for Astrophysics, Earth and Planetary Astrophysics, Astrophysics
Source: http://arxiv.org/abs/1405.3284
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Jun 30, 2018
06/18
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Jamie A. Dean; Liam C. Welsh; Kevin J. Harrington; Christopher M. Nutting; Sarah L. Gulliford
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In radiotherapy for head and neck cancer, the radiation dose delivered to the pharyngeal mucosa (mucosal lining of the throat) is thought to be a major contributing factor to dysphagia (swallowing dysfunction), the most commonly reported severe toxicity. There is a variation in the severity of dysphagia experienced by patients. Understanding the role of the dose distribution in dysphagia would allow improvements in the radiotherapy technique to be explored. The 3D dose distributions delivered...
Topics: Physics, Quantitative Biology, Quantitative Methods, Computing Research Repository, Medical...
Source: http://arxiv.org/abs/1412.6399
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Jun 29, 2018
06/18
by
Andrea Petri
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We present a newly developed software package which implements a wide range of routines frequently used in Weak Gravitational Lensing (WL). With the continuously increasing size of the WL scientific community we feel that easy to use Application Program Interfaces (APIs) for common calculations are a necessity to ensure efficiency and coordination across different working groups. Coupled with existing open source codes, such as CAMB and Gadget2, LensTools brings together a cosmic shear...
Topics: Astrophysics, Cosmology and Nongalactic Astrophysics, Instrumentation and Methods for Astrophysics
Source: http://arxiv.org/abs/1606.01903
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Talk by Serge Rey, Arizona State University. Presented at Python for Scientific Computing Conference held August 18-23, 2009 at CalTech in Pasadena CA. Information about the conference is at: http://conference.scipy.org
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Jun 28, 2018
06/18
by
Axel Donath; Christoph Deil; Manuel Paz Arribas; Johannes King; Ellis Owen; Régis Terrier; Ignasi Reichardt; Jon Harris; Rolf Bühler; Stefan Klepser
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In the past decade imaging atmospheric Cherenkov telescope arrays such as H.E.S.S., MAGIC, VERITAS, as well as the Fermi-LAT space telescope have provided us with detailed images and spectra of the gamma-ray universe for the first time. Currently the gamma-ray community is preparing to build the next-generation Cherenkov Telecope Array (CTA), which will be operated as an open observatory. Gammapy (available at https://github.com/gammapy/gammapy under the open-source BSD license) is a new...
Topics: Instrumentation and Methods for Astrophysics, Astrophysics
Source: http://arxiv.org/abs/1509.07408
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Jun 29, 2018
06/18
by
Guillaume Lemaitre; Fernando Nogueira; Christos K. Aridas
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Imbalanced-learn is an open-source python toolbox aiming at providing a wide range of methods to cope with the problem of imbalanced dataset frequently encountered in machine learning and pattern recognition. The implemented state-of-the-art methods can be categorized into 4 groups: (i) under-sampling, (ii) over-sampling, (iii) combination of over- and under-sampling, and (iv) ensemble learning methods. The proposed toolbox only depends on numpy, scipy, and scikit-learn and is distributed under...
Topics: Computing Research Repository, Learning
Source: http://arxiv.org/abs/1609.06570
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RESTful APIs for Scientific Computing in Django Shreyas Cholia If you have questions, email SCholia@lbl.gov
Topics: SciPy 2011, Scipy, Sci Py, Sci Py 2011, SciPy2011
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The Technical and Social Challenges of Getting Python into a Multi-Billion Dollar Enterprise Josh Hemann
Topics: SciPy 2011, Scipy, Sci Py, Sci Py 2011, SciPy2011
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PiCloud: Cloud Computing for Science. Simplified. Ken Elkabany
Topics: SciPy 2011, Scipy, Sci Py, Sci Py 2011, SciPy2011
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Tutorial by John Hunter, developer of matplotlib. Presented at the Python for Scientific Computing Conference held August 18-23, 2009 at CalTech in Pasadena CA. The first few minutes of the tutorial were not recorded due to technical difficulties. Information about the conference is at: http://conference.scipy.org
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This talk will give a basic introduction to the pySPACE framework and its current applications. pySPACE (Signal Processing And Classification Environment) is a modular software for the processing of large data streams that has been specifically designed to enable distributed execution and empirical evaluation of signal processing chains. Various signal processing algorithms (so called nodes) are available within the software, from finite impulse response filters over data-dependent spatial...
Topics: python, pydata, pydataberlin2014
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Talk by Brian Refsdal, Harvard Smithsonian Center for Astrophysics. Presented at the Python for Scientific Computing Conference (Scipy 2009) held August 18-23, 2009 at CalTech in Pasadena CA. Information about the conference is at: http://conference.scipy.org
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Talk by Piotr Zolnierczuk, Oak Ridge National Lab. Presented at Python for Scientific Computing Conference held August 18-23, 2009 at CalTech in Pasadena CA. Information about the conference is at: http://conference.scipy.org
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Second session of the introductory tutorials at the Python for Scientific Computing Conference held August 18-23, 2009 at CalTech in Pasadena CA. Topics are Python coontrol flow and exercise using Wallis formula to calculate Pi. Presented by Christopher Burns of UC Berkeley. Information about the conference is at: http://conference.scipy.org
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Welcoming comments by Jarrod Millman & Gael Varoquaux made at the start of the 2nd day of the Python for Scientific Computing Conference (Scipy 2009) held August 18-23, 2009 at CalTech in Pasadena CA. Information about the conference is at: http://conference.scipy.org
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Talk by Adrian Townsend, University of Washington. Presented at the Python for Scientific Computing Conference (Scipy 2009) held August 18-23, 2009 at CalTech in Pasadena CA. Information about the conference is at: http://conference.scipy.org
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Topics: manualzilla, manuals
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Jun 27, 2018
06/18
by
The SunPy Community; Stuart J Mumford; Steven Christe; David Pérez-Suárez; Jack Ireland; Albert Y Shih; Andrew R Inglis; Simon Liedtke; Russell J Hewett; Florian Mayer; Keith Hughitt; Nabil Freij; Tomas Meszaros; Samuel M Bennett; Michael Malocha; John Evans; Ankit Agrawal; Andrew J Leonard; Thomas P Robitaille; Benjamin Mampaey; Jose Iván Campos-Rozo; Michael S Kirk
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This paper presents SunPy (version 0.5), a community-developed Python package for solar physics. Python, a free, cross-platform, general-purpose, high-level programming language, has seen widespread adoption among the scientific community, resulting in the availability of a large number of software packages, from numerical computation (NumPy, SciPy) and machine learning (scikit-learn) to visualisation and plotting (matplotlib). SunPy is a data-analysis environment specialising in providing the...
Topics: Instrumentation and Methods for Astrophysics, Solar and Stellar Astrophysics, Astrophysics
Source: http://arxiv.org/abs/1505.02563
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May 21, 2020
05/20
by
John Glover, Victor Lazzarini, Joseph Timoney
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Linux Audio Conference 2011 Paper: Python For Audio Signal Processing John Glover, Victor Lazzarini, Joseph Timoney This paper discusses the use of Python for developing audio signal processing applications. Overviews of Python language, NumPy, SciPy and Matplotlib are given, which together form a powerful platform for scientfic computing. We then show how SciPy was used to create two audio programming libraries, and describe ways that Python can be integrated with the SndObj library and Pure...
Topics: linux audio conference, linux, audio, software, kde, gnome, conference, free software, 2011
Source: http://lac.linuxaudio.org/2011/video.php?id=11
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SciPy 2010 Day 1 Main Track 3 Keynote: Python Concurrency David Beazley
Topics: scipy, 2010
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SciPy 2010 Day 2 Main Track 2 Unusual Relationships: Python and Weaver Birds Kadambari Devarajan
Topics: scipy, 2010
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2.0
Jun 29, 2018
06/18
by
Stefan Richthofer
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Jython is a Java-based Python implementation and the most seamless way to integrate Python and Java. It achieves high efficiency by compiling Python code to Java bytecode and thus letting Java's JIT optimize it - an approach that enables Python code to call Java functions or to subclass Java classes. It enables Python code to leverage Java's multithreading features and utilizes Java's built-in garbage collection (GC). However, it currently does not support CPython's C-API and thus does not...
Topics: Programming Languages, Computing Research Repository
Source: http://arxiv.org/abs/1607.00825
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Florian Wilhelm - Handling GPS Data with Python [EuroPython 2016] [22 July 2016 / 2016-07-22] [Bilbao, Euskadi, Spain] (https://ep2016.europython.eu//conference/talks/handling-gps-data-with-python) If you have ever happened to need to deal with GPS data in Python you may have felt a bit lost. This talk presents libraries starting from basic reading and writing GPS tracks in the GPS Exchange Format to adding missing elevation information. Also visualisation of tracks on OpenStreetmap data with...
Topics: Visualization, Science, Jupyter/iPython Notebook, Sensors, EuroPython2016, Python
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SciPy 2010 Day 2 Main Track 9 Rebuilding the Hubble Exposure Time Calculator Perry Greenfield
Topics: scipy, 2010
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Interactive Parallel Computing with iPython and PyZMQ Min Ragan-Kelley
Topics: SciPy 2011, Scipy, Sci Py, Sci Py 2011, SciPy2011
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Feb 13, 2020
02/20
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AtsushiSakai
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Python sample codes for robotics algorithms. PythonRobotics Python codes for robotics algorithm. Table of Contents What is this? Requirements Documentation How to use Localization Extended Kalman Filter localization Particle filter localization Histogram filter localization Mapping Gaussian grid map Ray casting grid map Lidar to grid map k-means object clustering Rectangle fitting SLAM Iterative Closest Point (ICP) Matching FastSLAM 1.0 Path Planning Dynamic Window Approach Grid based search...
Topics: GitHub, code, software, git
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May 15, 2018
05/18
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cchen156
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None Learning-to-See-in-the-Dark This is a Tensorflow implementation of Learning to See in the Dark in CVPR 2018, by Chen Chen , Qifeng Chen , Jia Xu , and Vladlen Koltun . Project Website Paper This code includes the default model for training and testing on the See-in-the-Dark (SID) dataset. Demo Video https://youtu.be/qWKUFK7MWvg Setup Requirement Required python (version 2.7) libraries: Tensorflow (>=1.1) + Scipy + Numpy + Rawpy. Tested in Ubuntu + Intel i7 CPU + Nvidia Titan X (Pascal)...
Topics: GitHub, code, software, git
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Feb 16, 2018
02/18
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carpedm20
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PyTorch implementation of "Efficient Neural Architecture Search via Parameters Sharing" Efficient Neural Architecture Search (ENAS) in PyTorch PyTorch implementation of Efficient Neural Architecture Search via Parameters Sharing . ENAS reduce the computational requirement (GPU-hours) of Neural Architecture Search ( NAS ) by 1000x via parameter sharing between models that are subgraphs within a large computational graph. SOTA on Penn Treebank language modeling. Prerequisites Python...
Topics: GitHub, code, software, git
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Aug 21, 2019
08/19
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ddbourgin
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Machine learning, in numpy numpy-ml Ever wish you had an inefficient but somewhat legible collection of machinelearning algorithms implemented exclusively in numpy? No? Documentation To see all of the available models, take a look at the project documentation or see here . Contributing Am I missing your favorite model? Is there something that could be cleaner /less confusing? Did I mess something up? Submit a PR! The only requirement isthat your models are written with just the Python...
Topics: GitHub, code, software, git
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Dec 6, 2017
12/17
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facebookresearch
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Fader Networks: Manipulating Images by Sliding Attributes - NIPS 2017 FaderNetworks PyTorch implementation of Fader Networks (NIPS 2017). Fader Networks can generate different realistic versions of images by modifying attributes such as gender or age group. They can swap multiple attributes at a time, and continuously interpolate between each attribute value. In this repository we provide the code to reproduce the results presented in the paper, as well as trained models. Single-attribute swap...
Topics: GitHub, code, software, git
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Jun 15, 2017
06/17
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fchollet
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Deep Learning library for Python. Runs on TensorFlow, Theano or CNTK. # Keras: Deep Learning for Python You have just found Keras. Keras is a high-level neural networks API, written in Python and capable of running on top of either TensorFlow , CNTK or Theano . It was developed with a focus on enabling fast experimentation. Being able to go from idea to result with the least possible delay is key to doing good research. Use Keras if you need a deep learning library that: Allows for easy and...
Topics: GitHub, code, software, git
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Mar 12, 2020
03/20
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google-research
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ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators ELECTRA Introduction ELECTRA is a new method for self-supervised language representation learning. It can be used to pre-train transformer networks using relatively little compute. ELECTRA models are trained to distinguish "real" input tokens vs "fake" input tokens generated by another neural network, similar to the discriminator of a GAN . At small scale, ELECTRA achieves strong results even when...
Topics: GitHub, code, software, git
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Jun 15, 2017
06/17
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hangtwenty
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Dive into Machine Learning with Python Jupyter notebook and scikit-learn Dive into Machine Learning Hi there! This guide is for you: You're new to Machine Learning. You know Python. (At least the basics! If you want to learn more Python, try this ) I learned Python by hacking first, and getting serious later. I wanted to do this with Machine Learning. If this is your style, join me in getting a bit ahead of yourself. Note: There are several fields within "Data" and Machine Learning is...
Topics: GitHub, code, software, git
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Apr 1, 2018
04/18
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minimaxir
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Automatically "block" people in images (like Black Mirror) using a pretrained neural network. Person Blocker A script to automatically "block" people in images (like the Black Mirror episode White Christmas ) using Mask R-CNN pretrained on the MS COCO dataset. No GPU required! But you can block more than just people: up to 80 different types of objects can be blocked, including giraffes and busses! Setup This project relies on a handful of dependencies, use the following...
Topics: GitHub, code, software, git
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Apr 23, 2019
04/19
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jackfrued
software
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Download the bundle jackfrued-Python-100-Days_-_2019-04-17_07-40-11.bundle and run: git clone jackfrued-Python-100-Days_-_2019-04-17_07-40-11.bundle -b master Python - 100天从新手到大师 Python - 100天从新手到大师 作者：骆昊 Python应用领域和就业形势分析 简单的说，Python是一个“优雅”、“明确”、“简单”的编程语言。 学习曲线低，非专业人士也能上手 开源系统，拥有强大的生态圈...
Topics: GitHub, code, software, git
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Jun 11, 2017
06/17
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shaohua0116
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Compare SELUs (scaled exponential linear units) with other activation on MNIST, CIFAR10, etc. SELUs (scaled exponential linear units) - Visualized and Histogramed Comparisons among ReLU and Leaky ReLU Descriptions This project includes a Tensorflow implementation of SELUs (scaled exponential linear units) proposed in this paper Self-Normalizing Neural Networks . Also, aiming to present clear at a glance comparisons among SELU, ReLU, Leaky ReLU, etc, this implementation focuses on visualizing...
Topics: GitHub, code, software, git
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Apr 9, 2020
04/20
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ageitgey
software
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The world's simplest facial recognition api for Python and the command line Face Recognition You can also read a translated version of this file in Chinese 简体中文版 or in Korean 한국어 or in Japanese 日本語 . Recognize and manipulate faces from Python or from the command line withthe world's simplest face recognition library. Built using dlib 's state-of-the-art face recognitionbuilt with deep learning. The model has an accuracy of 99.38% on the Labeled Faces in the Wild benchmark....
Topics: GitHub, code, software, git
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Feb 21, 2019
02/19
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ageitgey
software
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The world's simplest facial recognition api for Python and the command line Face Recognition You can also read a translated version of this file in Chinese 简体中文版 . Recognize and manipulate faces from Python or from the command line withthe world's simplest face recognition library. Built using dlib 's state-of-the-art face recognitionbuilt with deep learning. The model has an accuracy of 99.38% on the Labeled Faces in the Wild benchmark. This also provides a simple face_recognition...
Topics: GitHub, code, software, git
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Aug 5, 2019
08/19
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ageitgey
software
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The world's simplest facial recognition api for Python and the command line Face Recognition You can also read a translated version of this file in Chinese 简体中文版 or in Korean 한국어 . Recognize and manipulate faces from Python or from the command line withthe world's simplest face recognition library. Built using dlib 's state-of-the-art face recognitionbuilt with deep learning. The model has an accuracy of 99.38% on the Labeled Faces in the Wild benchmark. This also provides a...
Topics: GitHub, code, software, git
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May 20, 2017
05/17
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ageitgey
software
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Download the bundle ageitgey-face_recognition_-_2017-05-15_13-40-31.bundle and run: git clone ageitgey-face_recognition_-_2017-05-15_13-40-31.bundle -b master The world's simplest facial recognition api for Python and the command line Face Recognition Recognize and manipulate faces from Python or from the command line withthe world's simplest face recognition library. Built using dlib 's state-of-the-art face recognitionbuilt with deep learning. The model has an accuracy of 99.38% on the...
Topics: GitHub, code, software, git
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Dec 22, 2020
12/20
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apple
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Hypersim: A Photorealistic Synthetic Dataset for Holistic Indoor Scene Understanding The Hypersim Dataset For many fundamental scene understanding tasks, it is difficult or impossible to obtain per-pixel ground truth labels from real images. We address this challenge by introducing Hypersim, a photorealistic synthetic dataset for holistic indoor scene understanding. To create our dataset, we leverage a large repository of synthetic scenes created by professional artists, and we generate 77,400...
Topics: GitHub, code, software, git
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Dec 5, 2017
12/17
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facebookresearch
software
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Fader Networks: Manipulating Images by Sliding Attributes - NIPS 2017 FaderNetworks PyTorch implementation of Fader Networks (NIPS 2017). Fader Networks can generate different realistic versions of images by modifying attributes such as gender or age group. They can swap multiple attributes at a time, and continuously interpolate between each attribute value. In this repository we provide the code to reproduce the results presented in the paper, as well as trained models. Single-attribute swap...
Topics: GitHub, code, software, git
